1570 Data Flow Jobs - Page 7

About The Role Project Role Data Modeler Project Role Description Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills Python (Programming Language) Good to have skills NA Minimum 5 year(s) of experience is required Educational Qualification 15 years full time education Summary As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and desig...

About The Role Project Role Application Developer Project Role Description Design, build and configure applications to meet business process and application requirements. Must have skills SAP BTP Integration Suite Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications function seamlessly within the existing infrastructure. You will engage i...

About The Role Project Role Application Developer Project Role Description Design, build and configure applications to meet business process and application requirements. Must have skills SAP BTP Integration Suite Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will also engage in test...

About The Role Project Role Application Support Engineer Project Role Description Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills EPIC Systems Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot software problems, analyzing system performan...

About The Role Project Role Application Support Engineer Project Role Description Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills EPIC Systems Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and resolves issues within various components of critical business systems. Your typical day will involve collaborating with team members to troubleshoot software problems, analyzing system performan...

About The Role Project Role Application Designer Project Role Description Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills SAP PP Production Planning & Control Discrete Industries Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with cross-functional teams to gather insights, analyzing user needs, and translating them into functional specification...

About The Role Project Role Application Lead Project Role Description Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills Microsoft SQL Server Good to have skills NA Minimum 12 year(s) of experience is required Educational Qualification 15 years full time education Key ResponsibilitiesData Pipeline Development:Design and implement robust ETL/ELT pipelines using tools like Azure Synapse Pipeline & Notebooks to extract, transform, and load data from various sources.Data Storage Management:Manage and optimize large volumes of structured and unstructured data within Azure Data Lake Storage (ADLS Gen2).Data Transformation and Proce...

Overview GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL Responsibilities GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL Requirements GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL

Overview GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL Responsibilities GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL Requirements GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL

Overview GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL Responsibilities GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL Requirements GCP, Big Query, Composer, Python, Pyspark, Dataproc, Airflow, SQL

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsSQL,Python,data warehousing,etl,amazon redshift,bigquery,data engineering,AWS,machine learning,real-time data processing,Java,spring boot,microservices,spark,Kafka,Cassandra,Scala,NoSQL,mongodb,Redis,data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsData analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsETL pipelines,data warehouses,SQL,Python,AWS Redshift,Google BigQuery,ETL*

Immediate Requirement Remote Contract | #tgsa #Oracle #OCI #DataIntegration #Finance #O2C #DataEngineering Role : Lead OCI Data Integration & Engineering (Finance/O2C) Type : Remote | Contract Experience : 8 - 12 years Location : Offshore (India) We are seeking a Lead OCI Data Integration & Engineering to design, architect, and govern OCI-based data integration solutions for Finance and Order-to-Cash (O2C) domains. The role involves leading a small technical team responsible for developing, optimizing, and maintaining OCI Data Integration (OCI DI) pipelines and frameworks. Key Skills: OCI Data Integration (OCI DI), Data Flow, Object Storage, ADW Strong SQL/PLSQL & performance tuning Data Lak...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills - sql,python,data warehousing,etl,amazon redshift,Data Engineering.

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills SQL,Python,AWS Redshift,Google BigQuery,machine learning models,ETL,data architectures,Data engineering.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture

Job DescriptionDesign and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.KeywordsSQL,Python,AWS Redshift,Google BigQuery,machine learning models,ETL,data architectures,Data engineering*

Job Description Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred KeywordsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*